Articles · Page 3
Older posts from the archive.
The LLM Year in Review: What Actually Mattered in 2025 (And What Was Noise)
The prediction was: bigger models win. The reality was: DeepSeek R1 rewrote the rules in January and nothing was the same after that. What 2025 taught us about reasoning, inference-time compute, and the economics of intelligence.
From Contractor to Consultant: The Mindset Shift That Changes Your Income
Contractors sell time. Consultants sell results. That distinction is the whole game. How I changed my pricing, positioning, and client selection once it clicked.
What the Teams Actually Shipping Coding Agents Have Figured Out
Coding agents are the most economically viable AI in production today. The patterns Devin, Cline, Amp, and others converged on, and what they mean for anyone building or using agents seriously.
Stop Shipping Features: Why AI Products Need an Experiment Mindset
12 features shipped in a quarter. Zero meaningful metrics moved. AI products aren't software projects. The roadmap is a hypothesis board, not a delivery schedule, and treating it otherwise is expensive.
Beyond Chunks: Why Faceted Context Is the Future of RAG
Chunk-based RAG returns results. Faceted context gives agents peripheral vision: an understanding of the information landscape that lets them navigate rather than just consume. What that looks like in a domain where getting it wrong matters.
Context Engineering: The Skill That Replaced Prompt Engineering
Prompt engineering is a symptom, not a skill. The engineers shipping better agents aren't writing better instructions. They're designing better information spaces. Context engineering is the meta-skill no one teaches.
Every Service Is Going to Need an MCP Layer
REST APIs were designed for humans calling services through UIs. AI agents are not humans. What breaks when you expose your existing APIs to agents, and what the right architecture looks like.
When English Became a Programming Language
v0 just proved that English plus AI can replace traditional web development for most apps. That changes what it means to be a developer. An honest take on what shifts, what doesn't, and what to do about it.
Fine-Tuning LLMs Without the RLHF Headache: The DPO Approach
RLHF is the right idea with the wrong implementation cost for most teams. DPO flips the math. How to align a healthcare AI model on clinician feedback without burning a month on reward model engineering.